MRP_py
MRP_py parametrizes covalently modified amino acid residues for molecular dynamics simulations, generating atomistic force-field parameters and RESP-derived charges for post-translationally modified (PTM) residues.
Key Features:
- Integration with AmberTools and Gaussian: Integrates with AmberTools (requires version 15 or higher) and Gaussian to enable molecular modeling and quantum mechanical calculations.
- Charge Derivation via RESP: Derives partial charges using the Restrained Electrostatic Potential (RESP) fitting procedure.
- Force Constant Optimization: Obtains and adapts force constants by rewriting parameters from protein-specific or GAFF (General AMBER Force Field) databases.
- Interface Parameterization: Systematically parameterizes the interface between modified residues and surrounding protein residues.
- Database Compatibility: Supports parameter extraction and compatibility with a variety of protein-specific databases.
Scientific Applications:
- Molecular dynamics of modified proteins: Enables MD simulations of proteins containing covalently modified amino acid residues.
- Post-translational modification modeling: Facilitates parameterization of post-translational modifications (PTMs).
- Covalent inhibitor modeling and interface analysis: Supports parameterization for covalent binding of small-molecule inhibitors and analysis of interfacial interactions between modified residues and host proteins.
Methodology:
RESP charge derivation; adaptation and rewriting of force constants from protein-specific or GAFF databases; quantum mechanical calculations via Gaussian; integration with AmberTools (requires v15+).
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 3/1/2021
Operations
Publications
Sahrmann PG, Donnan PH, Merz KM, Mansoorabadi SO, Goodwin DC. MRP.py: A Parametrizer of Post-Translationally Modified Residues. Journal of Chemical Information and Modeling. 2020;60(10):4424-4428. doi:10.1021/acs.jcim.0c00472. PMID:32672967.
PMID: 32672967
Funding: - Division of Chemistry: CHE-1555138
- Division of Molecular and Cellular Biosciences: MCB-1616059